Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs Paper • 2504.17432 • Published 21 days ago • 38
Decoupled Global-Local Alignment for Improving Compositional Understanding Paper • 2504.16801 • Published 22 days ago • 15
UniME Collection UniME is a series of multimodal large language models trained for learning universal multimodal embedding. • 4 items • Updated 9 days ago • 4
Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC Paper • 2203.15565 • Published Mar 28, 2022 • 1
RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm Paper • 2502.12513 • Published Feb 18 • 16
Unicom: Universal and Compact Representation Learning for Image Retrieval Paper • 2304.05884 • Published Apr 12, 2023 • 2
Multi-label Cluster Discrimination for Visual Representation Learning Paper • 2407.17331 • Published Jul 24, 2024 • 2
Qwen2-VL Collection Vision-language model series based on Qwen2 • 16 items • Updated 16 days ago • 213
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model Paper • 2309.16058 • Published Sep 27, 2023 • 55